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Home NEWS Science News Biology

An OU-led study sheds new insight on forest loss and degradation in Brazilian Amazon

Bioengineer by Bioengineer
April 29, 2021
in Biology
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Credit: Xiangming Xiao

An international team led by Xiangming Xiao, George Lynn Cross Research Professor in the Department of Microbiology and Plant Biology, University of Oklahoma College of Arts and Sciences, published a paper in the April issue of the journal Nature Climate Change that has major implications on forest policies, conservation and management practices in the Brazilian Amazon. Xiao also is director of OU’s Center for Earth Observation and Modeling. Yuanwei Qin, a research scientist at the Center for Earth Observation and Modeling, is the lead author of the study.

For the study described in the paper, “Carbon loss from forest degradation exceeds that from deforestation in the Brazilian Amazon,” Xiao, Qin and a team of research scientists and faculty from institutes and universities in the United States, France, the United Kingdom, Denmark and China used satellite data to track spatial-temporal changes of forest area and aboveground biomass in the Brazilian Amazon from 2010 to 2019. They discovered that carbon loss from forest degradation was greater than that resulting from deforestation in the region, which indicates forest degradation should become a high priority in policies, conservation and management.

Tropical forests in the Amazon account, Qin notes, for approximately 50% of the rainforests in the world and are important for global biodiversity, hydrology, climate and the carbon cycle. Accurate and timely data on vegetation aboveground biomass and forest area in the region at various spatial and temporal scales are also essential for data-based policies and decision making. This international team harnessed diverse data for monitoring, reporting and verification of tropical forests. The paper published in Nature Climate Change is a follow-up of a previous study published in Nature Sustainability in 2019, which reported improved estimates of forest areas in the Brazilian Amazon.

###

Media Contact
Zack Higbee
[email protected]

Related Journal Article

http://dx.doi.org/10.1038/s41558-021-01026-5

Tags: BiologyMicrobiology
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